iamgeseg

neural networks matlab 7.14

this program used to solve power system

这是一个基于matlab编程的RussiaBlock，可以很好的学到matlab的知识，又具有娱乐性(This is a well Matlab programming RussiaBlock, learn matlab' s knowledge, but also entertaining)

用遗传算法求解TSP问题，matlab源程序，付P1.m与数据以供试验(solve TSP with GA)

基于最小均方误差的方法LMMMSE，对信道参数进行估计。(MMSE-based method LMMMSE, on the estimated channel parameters.)

对原始信号进行emd分解，分解后的信号能够更好的体现出本身的特征，更加明了(The original signal EMD decomposition, decomposed signal can better reflect the characteristics of itself, more clear)

说明：  代码包括开关中值滤波、极值中值滤波、自适应中值滤波的M文件源码，程序效果跟论文中的效果差不多。(Code including the switching median filter, extreme median filtering, adaptive median filter M-file source code, the program effect is almostthe effect of the paper )

use swarm intelligence algorithm to slove travelling sales man problems in matlab(use swarm intelligence algorithm to slove traveling sales man problems in Matlab)

Dont Net Siemens Toolbox

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)